Our main interests are how the large-scale brain network could lead the emergence of high-order cognitive functions in humans, and which computational mechanisms underlie in this network activity.
Specifically, we focus on the principle of neuronal information processing and their representation across the distributed brain networks during resting and task-evoked states.
We also study the pathological manifestation of these principles in the
clinical conditions. To address these questions, we mainly use two analytical approaches, multimodal brain imaging and computational modeling for simulation of multi-regional neural networks.
Finally, our group is eager to link these various neurocognitive mechanisms to the state-of-art AI algorithms, in order to develop biologically-inspired (thus potentially energy efficient) yet also computationally scalable (thus functionally emergent), new intelligent systems.